• Open Access

A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions

Authors

  • Nathaniel L. Booth,

    1. Respectively, IT Specialist (Booth), U.S. Geological Survey, Center for Integrated Data Analytics, Middleton, Wisconsin 53562
    Search for more papers by this author
  • Eric J. Everman,

    1. Senior Software Developer (Everman, Kuo), Data Manager (Murphy), U.S. Geological Survey, Center for Integrated Data Analytics, Middleton, Wisconsin 53562
    Search for more papers by this author
  • I-Lin Kuo,

    1. Senior Software Developer (Everman, Kuo), Data Manager (Murphy), U.S. Geological Survey, Center for Integrated Data Analytics, Middleton, Wisconsin 53562
    Search for more papers by this author
  • Lori Sprague,

    1. Hydrologist (Sprague), U.S. Geological Survey, Colorado Water Science Center, Denver, Colorado 80225
    Search for more papers by this author
  • Lorraine Murphy

    1. Senior Software Developer (Everman, Kuo), Data Manager (Murphy), U.S. Geological Survey, Center for Integrated Data Analytics, Middleton, Wisconsin 53562
    Search for more papers by this author

  • Paper No. JAWRA-10-0177-P of the Journal of the American Water Resources Association (JAWRA). Discussions are open until six months from print publication.

  • Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms

(E-Mail/Booth: nlbooth@usgs.gov).

Abstract

Booth, Nathaniel L., Eric J. Everman, I-Lin Kuo, Lori Sprague, and Lorraine Murphy, 2011. A Web-Based Decision Support System for Assessing Regional Water-Quality Conditions and Management Actions. Journal of the American Water Resources Association (JAWRA) 47(5):1136-1150. DOI: 10.1111/j.1752-1688.2011.00573.x

Abstract:  The U.S. Geological Survey National Water Quality Assessment Program has completed a number of water-quality prediction models for nitrogen and phosphorus for the conterminous United States as well as for regional areas of the nation. In addition to estimating water-quality conditions at unmonitored streams, the calibrated SPAtially Referenced Regressions On Watershed attributes (SPARROW) models can be used to produce estimates of yield, flow-weighted concentration, or load of constituents in water under various land-use condition, change, or resource management scenarios. A web-based decision support infrastructure has been developed to provide access to SPARROW simulation results on stream water-quality conditions and to offer sophisticated scenario testing capabilities for research and water-quality planning via a graphical user interface with familiar controls. The SPARROW decision support system (DSS) is delivered through a web browser over an Internet connection, making it widely accessible to the public in a format that allows users to easily display water-quality conditions and to describe, test, and share modeled scenarios of future conditions. SPARROW models currently supported by the DSS are based on the modified digital versions of the 1:500,000-scale River Reach File (RF1) and 1:100,000-scale National Hydrography Dataset (medium-resolution, NHDPlus) stream networks.

Ancillary